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Showing 1 - 20 results of 3,754 for search '(( significance visits decreased ) OR ( significant ((mean decrease) OR (step decrease)) ))', query time: 0.49s Refine Results
  1. 1
    Annual number of outpatient visits in all eyes.

    Annual number of outpatient visits in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
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  2. 2
    Annual number of outpatient visits in recurrence and non-recurrence groups.

    Annual number of outpatient visits in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  3. 3
    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.

    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

    Published 2025
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  4. 4
    Bar graphs showing the means and 95% CI of each retinal layer thickness at each visit.

    Bar graphs showing the means and 95% CI of each retinal layer thickness at each visit. by Jung-Tae Kim (8997767)

    Published 2025
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  5. 5
    Multivariable logistic regression analysis of the relationship of the date of a PHC visit with new visits, types of health events, procedure, and outcome of visits.

    Multivariable logistic regression analysis of the relationship of the date of a PHC visit with new visits, types of health events, procedure, and outcome of visits. by Taizo Sakata (21567847)

    Published 2025
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  6. 6
    Time course of optical coherence tomography and fundus findings in a representative non-recurrent eye.

    Time course of optical coherence tomography and fundus findings in a representative non-recurrent eye. by Yasuyuki Sotani (20114144)

    Published 2025
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  7. 7
    Time course of central retinal thickness (CRT) in recurrence and non-recurrence groups.

    Time course of central retinal thickness (CRT) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  8. 8
    Time course of best-corrected visual acuity (BCVA) in all eyes.

    Time course of best-corrected visual acuity (BCVA) in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
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  9. 9
    Time course of central retinal thickness (CRT) in all eyes.

    Time course of central retinal thickness (CRT) in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
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  10. 10
    Annual treatment frequencies in all eyes.

    Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

    Published 2025
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  11. 11
    Annual treatment frequencies in recurrence and non-recurrence groups.

    Annual treatment frequencies in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  12. 12
    Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups.

    Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
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  13. 13
    Preoperative background characteristics of the patients.

    Preoperative background characteristics of the patients. by Yasuyuki Sotani (20114144)

    Published 2025
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  14. 14
    Spearman’s correlation matrix of weather conditions, both mean (x̄) and maximum, against daily number of visits to the water trough, mean water intake per visit, and mean water intake per day, for both groups.

    Spearman’s correlation matrix of weather conditions, both mean (x̄) and maximum, against daily number of visits to the water trough, mean water intake per visit, and mean water int... by M. Jordana Rivero (14610947)

    Published 2025
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  15. 15
    Distribution of continuous variables of all 3 visits (visit 1 = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group. Results are shown as mean ± standard deviation (SD) for normally distributed variables and median with interquartile ranges for non-normally distributed.

    Distribution of continuous variables of all 3 visits (visit 1 = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group. Results are shown as mea... by Nattapon Riengvirodkij (11268720)

    Published 2025
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  16. 16
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), including national parks, national monuments, and national forests included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with a diameter of 2.5 microns.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), i... by Kira Minehart (21029571)

    Published 2025
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  17. 17
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), including city parks, county parks, and regional parks included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
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  18. 18
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), including state parks and state recreation areas included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
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  19. 19
    Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection.

    Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

    Published 2025
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  20. 20
    Seven-day moving average number of PHC visits and health events during 2020.

    Seven-day moving average number of PHC visits and health events during 2020. by Taizo Sakata (21567847)

    Published 2025
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